Abstract: Long-term load forecasting (LTLF) plays a key role in the planning and operation of power systems, enabling utilities to anticipate demand patterns and ensure grid stability. This paper ...
Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
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